Clear ownership
Roles and responsibilities are made explicit.
Data & AI Management and Governance
Make it clear who makes decisions, who oversees and who remains accountable for AI.
AI initiatives often emerge in different parts of an organisation. Without shared guidelines, ownership, decision-making and oversight remain fragmented. AI governance defines roles, guidelines and responsibilities for developing and using AI.
From an isolated possibility to a practical application
An application only becomes meaningful when it fits a specific task and the information available for it.
Governance needs to be workable and fit existing decision-making processes. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
What you gain
Targeted risk management
Measures reflect the application and the potential consequences of errors.
Practical frameworks
Agreements are linked to the development, procurement and day-to-day use of AI.
Our approach
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Map the landscape
We map the applications, data and roles involved.
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Determine risk and responsibility
We assess the controls needed for each application.
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Establish a framework
We turn principles into workable roles and processes.
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Put it into practice
We embed the agreed approach in development, procurement and use.
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Review and adapt
We track changes in technology, the organisation and regulations.
Designed to fit your organisation
This service is relevant for organisations that want to manage multiple AI applications. The exact set-up depends on the process, the available data and the risks associated with the application.
We therefore start with a clearly defined application and only expand once the initial set-up works in practice.
Other solutions
One data platform for fragmented sourcesBring data from separate systems together in one place, where everyone sees the same figures.
Dashboard for day-to-day operationsSee how things stand on one screen, without having to build reports first.
Predicting when maintenance is neededPlan maintenance based on what the data says, not on a fixed schedule.
Frequently asked questions
This service addresses the following question: AI governance defines roles, frameworks and responsibilities for development and use. How it works in practice depends on the process and the available data.
The service may be relevant to organisations that want to manage multiple AI applications. A specific need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question that needs to be addressed, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, standard automation may be enough. We choose the simplest approach that addresses the question effectively and only add complexity when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. Once it is in use, we monitor how it works and adjust the solution when the data, its use or the context changes.
Discover what AI governance could mean for your organisation
Would you like to explore where to start with AI governance? Together, we’ll map out the challenge, the available information and the conditions that need to be met.